并行计算课程
并行计算课程可以帮助您学习 Distribution Systems、Concurrency 和性能优化技术。您可以掌握任务调度、Load Balancer 和 Debugging 并行应用程序方面的技能。许多课程会介绍 MPI（消息传递接口）和 OpenMP 等工具，这些工具支持实施并行算法和提高计算效率。
热门并行计算课程和认证
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming
状态：免费试用Duke University
您将获得的技能: 云计算, 系统监控, Flask （Web 框架）, 微服务, 云平台, Kubernetes, 云应用, 无服务器计算, 持续交付, DevOps, 云部署, 云原生计算, Amazon Web Services, 集装箱化, 性能测试, Virtual Machine, 虚拟机
状态：预览Birla Institute of Technology & Science, Pilani
您将获得的技能: Computer Architecture, Hardware Architecture, Computer Systems, System Programming, File Systems, Data Pipelines, Hazard Analysis, Cloud Platforms
状态：免费试用University of Colorado System
您将获得的技能: 云计算, 负载平衡, 亚马逊弹性计算云, 网络服务器, 用户账户, 利纳克斯, 命令行界面, 系统配置, 调试, 网络路由, 云安全, Amazon Web Services, 阿帕奇, AWS 身份和访问管理 (IAM)
状态：预览École Polytechnique Fédérale de Lausanne
您将获得的技能: 计算机编程, 机器学习算法, 分布式计算, Scala 编程, 功能设计, Algorithm, 性能测试, 数据结构, 算法, 性能调整
状态：免费试用Johns Hopkins University
您将获得的技能: 数据共享, 数据访问, 调试, 分布式计算, 开发环境, Algorithm, 编程原则, Python 编程, 算法, 计划发展, 计算机结构, 硬件架构, 计算机编程工具, C 和 C++
状态：预览Northeastern University
您将获得的技能: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Computer Science, Performance Tuning, Software Development, Scalability
Birla Institute of Technology & Science, Pilani
您将获得的技能: Computer Architecture, Computer Systems, Computational Logic, Hardware Design, Computer Hardware, Programming Principles, Digital Signal Processing, Debugging
状态：预览Fractal Analytics
您将获得的技能: Cloud Computing, Information Technology, Cybersecurity, Linear Algebra, Critical Thinking, Simulations
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 云计算, 网络安全, 事务处理, 认证, 数据存储, 文件系统, 分布式计算, 授权（计算）, 操作系统, Network Security, Algorithm, 加密技术, 数据中心, 算法, NoSQL, Apache Hadoop
状态：预览您将获得的技能: Microarchitecture, Computer Architecture, Hardware Architecture, Simulations, Computer Hardware, Performance Tuning, Scalability, Data Storage
状态：免费Princeton University
您将获得的技能: 计算机硬件, 可扩展性, 计算逻辑, 理论计算机科学, 计算机科学, Algorithm, Java 编程, 编程原则, 数据结构, 计算机结构, 算法
总之，以下是 10 最受欢迎的 parallel computing 课程
- Big Data Processing with Hadoop and Spark: University of Pittsburgh
- 云虚拟化、容器和应用程序接口: Duke University
- MIPS Computer Architecture and Performance Optimization: Birla Institute of Technology & Science, Pilani
- 云计算安全: University of Colorado System
- 并行编程（Scala 2 版本）: École Polytechnique Fédérale de Lausanne
- 使用 GPU 的并行编程入门: Johns Hopkins University
- Data Structures & Algos: Software Development Skills: Northeastern University
- Introduction to Computing Systems: Birla Institute of Technology & Science, Pilani
- Quantum Computing For Everyone - An Introduction : Fractal Analytics
- 云计算概念：第 2 部分: University of Illinois Urbana-Champaign
